Decision tree learning to predict overweight/obesity based on body mass index and gene polymporphisms.

The new technologies for data analysis, such as decision tree learning, may help to predict the risk of developing diseases. The aim of the present work was to develop a pilot decision tree learning to predict overweight/obesity based on the combination of six single nucleotide polymorphisms (SNP) located in feeding-associated genes. Genotype study was performed in 151 healthy individuals, who were anonymized and randomly selected from the TALAVERA study.

Do MSI-L sporadic colorectal tumors develop through "mild mutator pathway"?

Background: The mutator pathway implied in the development of colorectal cancer (CRC) is characterized by microsatellite instability (MSI). MSI tumors can be subdivided according to the level of instability: MSI-H (high), MSI-L (low) or stable MSS. MSI-H CRC displays a well described distinct phenotype, but the true biologic significance of MSI-L is still uncertain.

Self-expandable stent before elective surgery vs. emergency surgery for the treatment of malignant colorectal obstructions: comparison of primary anastomosis and morbidity rates.

Purpose: At present there are not enough studies that demonstrate the usefulness of self-expandable stents in patients with left-sided malignant colon and rectal obstruction. We evaluated primary anastomosis and morbidity rates obtained with this method in comparison with the results of the emergency surgical treatment.

Methods: From February 1994 to November 1999, 72 consecutive patients with left-sided malignant colorectal obstruction were enrolled.